scholarly journals Performance Analysis of Spatial Distribution and Channel Quality Adaptive Protocol with DDOS Attacks In VANET

2019 ◽  
Vol 182 (38) ◽  
pp. 8-11
Author(s):  
Dharmaveer P. ◽  
S. S.
2000 ◽  
Vol 10 (03n04) ◽  
pp. 159-171
Author(s):  
KHAIRI ASHOUR MOHAMED ◽  
LÁSZLÓ PAP

This paper is concerned with the performance analysis of frequency-hopped packet radio networks with random spatial distribution of users. Depending on their relative energies, hits may either cause errors, erasures, or be ineffective. Combined error and erasure Reed Solomon decoding is used. Two types of hopping patterns are considered, namely random and one-coincidence patterns. Using a novel technique of the joint probability generating functions of the so called effective interference vectors, general closed form expressions for packet capture probabilities are derived. Numerical results indicate that, depending on the coding rate and traffic levels, larger values of the throughput can be achieved by using either error only or erasure only decoding.


Author(s):  
Ankur Dumka ◽  
Alaknanda Ashok ◽  
Parag Verma

The software-defined network (SDN) emerges as an updated technology that changes the scenario of networking where the network is managed by means of software. Any network is always not secure, and hence, the research in terms of securing this network is an area of research. DDoS is one of the attacks that makes a network insecure. This paper proposes the impact in terms of performance of SDN networks due to DDoS attack and proposes a new algorithm for increasing the performance of network. The proposed algorithm prevents the DDoS attack at the application level of flooding by keeping track of IP addresses and thus improves the performance of the network by preventing from DDoS attacks.


Author(s):  
Monika Sachdeva ◽  
Krishan Kumar ◽  
Gurvinder Singh ◽  
Kuldip Singh

10.29007/2jg6 ◽  
2019 ◽  
Author(s):  
Katina Kralevska ◽  
Michele Garau ◽  
Mathias Førland ◽  
Danilo Gligoroski

We implement an intrusion detection application to investigate the security capabilities of Software Defined Networking (SDN) in a 5G-like environment under Distributed Denial- of-Service (DDoS) attacks. The simulation environment is created in OMNeT++ with a novel integration of two OMNeT++ extension libraries, SimuLTE and OpenFlow OM- NeT++ Suite. The 5G-like environment enables vast and diverse testing of 5G topologies, as well as performance analysis of SDN security applications with various detection and mitigation methods. We analyze distributed synchronize (SYN) flood attack performed by compromised nodes. We report our findings about the sensitivity and the specificity of detection and mitigation of SYN flood for different number of attack and benign nodes.


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